arena_dip_scenario

shallow

io.github.Schoasch/backtesting-arena · Verify this server

Where would I add on a dip, and when is the thesis wrong? Frame a dip/accumulation thesis WITHOUT a recommendation. Given an asset (BTC/ETH/SOL), a named cycle-state preset and a thesis horizon, returns: (1) a tranche LADDER anchored to STRUCTURAL marks (200-week MA, support clusters) below spot — not calendar-DCA, not a price forecast; (2) the cited historical base rate from the analog engine (what forward returns followed comparable states, with episodes_matched and small-n warnings); (3) the explicit lump-sum-vs-tranche tradeoff (laddering buys lower timing variance, NOT higher expected value). Requires an invalidation point (mandatory: at what scenario is the thesis wrong). Composes the historical-analog + key-levels tools. This structural framing is MCP-only; a related (different-method, EV/Kelly) interactive tool is at https://tradingstrategies.work/analyse/dip-decision. [API Pro tier]

100.0/100

1 trials · measured 8 days ago

arena_dip_scenario scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against io.github.Schoasch/backtesting-arena, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote
Credential class
gated
Category
Finance & compliance
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-08-25100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: arena_dip_scenario
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